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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 526
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    Explanations

    actions related to conflict or aggression

    oai_token-act-pair · gpt-3.5-turbo

    vocabulary related to violence and aggression

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cluded
    -0.68
     Situation
    -0.64
     Fract
    -0.64
     Expend
    -0.63
     friendships
    -0.60
    ĻĤ
    -0.58
     Riding
    -0.58
    "],"
    -0.57
    fed
    -0.56
     acad
    -0.56
    POSITIVE LOGITS
     onto
    0.93
     forcefully
    0.89
     toward
    0.84
     loudly
    0.84
     towards
    0.82
     freely
    0.76
    lot
    0.75
     indiscrim
    0.75
     overboard
    0.74
     furiously
    0.73
    Activations Density 0.550%

    No Known Activations